Subtopic Deep Dive

14-3-3 Protein Phosphorylation Binding
Research Guide

What is 14-3-3 Protein Phosphorylation Binding?

14-3-3 Protein Phosphorylation Binding refers to the specific recognition and binding of 14-3-3 proteins to phosphorylated serine/threonine motifs on client proteins, modulating signal transduction.

14-3-3 proteins bind phosphopeptides via conserved amphipathic grooves, as mapped by tools like Scansite 2.0 (Obenauer et al., 2003, 1599 citations). Structural studies reveal dual roles for nuclear export signals in ligand binding (Rittinger et al., 1999, 506 citations). This interaction regulates partners like TAZ, Bax, and LRRK2 in cellular processes (Kanai et al., 2000; Tsuruta et al., 2004; Nichols et al., 2010).

Curated Papers

Key Challenges

Why It Matters

Phosphorylation-dependent 14-3-3 binding controls cytoplasmic localization of LRRK2, disrupted in Parkinson's disease mutations (Nichols et al., 2010, 397 citations; Dzamko et al., 2010, 383 citations). JNK-mediated 14-3-3 phosphorylation promotes Bax translocation to mitochondria, influencing apoptosis (Tsuruta et al., 2004, 556 citations). In plants, 14-3-3 interaction with phosphorylated H+-ATPase regulates pH gradients under stress (Fuglsang et al., 2007, 435 citations). These mechanisms underpin dysregulated signaling in cancer and neurodegeneration.

Key Research Challenges

Mapping Binding Specificity

Predicting exact phosphomotifs recognized by 14-3-3 isoforms remains imprecise despite Scansite 2.0 (Obenauer et al., 2003). Structural dynamics complicate motif identification (Rittinger et al., 1999). Mutagenesis and peptide arrays yield incomplete maps.

Disorder in Binding Interfaces

Intrinsically disordered regions in 14-3-3 partners enable induced fit, challenging rigid docking models (Oldfield et al., 2008, 586 citations; Dunker et al., 2005, 1111 citations). Flexible nets alter phosphorylation affinity. Simulations struggle with entropy effects.

Disease Mutation Effects

Parkinson's mutations in LRRK2 disrupt 14-3-3 binding post-dephosphorylation (Nichols et al., 2010; Dzamko et al., 2010). Quantifying affinity changes requires kinase inhibition assays. Translating to therapeutics is limited.

Essential Papers

Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs

John C. Obenauer · 2003 · Nucleic Acids Research · 1.6K citations

Scansite identifies short protein sequence motifs that are recognized by modular signaling domains, phosphorylated by protein Ser/Thr- or Tyr-kinases or mediate specific interactions with protein o...

Flexible nets

A. Keith Dunker, Marc S. Cortese, Pedro Romero et al. · 2005 · FEBS Journal · 1.1K citations

Proteins participate in complex sets of interactions that represent the mechanistic foundation for much of the physiology and function of the cell. These protein–protein interactions are organized ...

TAZ: a novel transcriptional co‐activator regulated by interactions with 14‐3‐3 and PDZ domain proteins

Fumihiko Kanai, Paola A. Marignani, Dilara Sarbassova et al. · 2000 · The EMBO Journal · 736 citations

Flexible nets: disorder and induced fit in the associations of p53 and 14-3-3 with their partners

Christopher J. Oldfield, Jingwei Meng, Jack Yang et al. · 2008 · BMC Genomics · 586 citations

JNK promotes Bax translocation to mitochondria through phosphorylation of 14‐3‐3 proteins

Fuminori Tsuruta, Jun Sunayama, Yasunori Mori et al. · 2004 · The EMBO Journal · 556 citations

Structural Analysis of 14-3-3 Phosphopeptide Complexes Identifies a Dual Role for the Nuclear Export Signal of 14-3-3 in Ligand Binding

Katrin Rittinger, Joe Budman, Jian Xu et al. · 1999 · Molecular Cell · 506 citations

Large-Scale Arabidopsis Phosphoproteome Profiling Reveals Novel Chloroplast Kinase Substrates and Phosphorylation Networks

Sonja Reiland, Gaëlle Messerli, Katja Baerenfaller et al. · 2009 · PLANT PHYSIOLOGY · 485 citations

Abstract We have characterized the phosphoproteome of Arabidopsis (Arabidopsis thaliana) seedlings using high-accuracy mass spectrometry and report the identification of 1,429 phosphoproteins and 3...

Reading Guide

Foundational Papers

Start with Obenauer et al. (2003, Scansite 2.0) for motif prediction basics, then Rittinger et al. (1999) for phosphopeptide structures, as they establish binding grooves and specificity.

Recent Advances

Study Nichols et al. (2010) and Dzamko et al. (2010) for LRRK2 Parkinson's links; Fuglsang et al. (2007) for plant H+-ATPase regulation.

Core Methods

Motif scanning (Scansite), X-ray crystallography of complexes (Rittinger 1999), phosphoproteomics (Reiland 2009), mutagenesis, and kinase assays (Dzamko 2010).

How PapersFlow Helps You Research 14-3-3 Protein Phosphorylation Binding

Discover & Search

Research Agent uses searchPapers and exaSearch to find phosphorylation motif papers like 'Scansite 2.0' (Obenauer et al., 2003), then citationGraph reveals 1599 citing works on 14-3-3 motifs, while findSimilarPapers uncovers related LRRK2 studies (Nichols et al., 2010).

Analyze & Verify

Analysis Agent applies readPaperContent to extract binding motifs from Rittinger et al. (1999), verifies claims with CoVe chain-of-verification against abstracts, and runs PythonAnalysis to plot phosphosite frequencies from Reiland et al. (2009) data using pandas, with GRADE scoring evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in LRRK2-14-3-3 mutation coverage via contradiction flagging across Dzamko et al. (2010) and Nichols et al. (2010); Writing Agent uses latexEditText for motif diagrams, latexSyncCitations to integrate 10 papers, and latexCompile for publication-ready reviews, plus exportMermaid for signaling pathway graphs.

Use Cases

"Extract phosphomotif sequences from 14-3-3 papers and analyze conservation."

Research Agent → searchPapers('14-3-3 phosphomotif') → Analysis Agent → readPaperContent(Obenauer 2003) + runPythonAnalysis (NumPy sequence alignment) → researcher gets CSV of aligned motifs with conservation scores.

"Draft a review on LRRK2-14-3-3 binding disruptions in Parkinson's."

Synthesis Agent → gap detection(Nichols 2010, Dzamko 2010) → Writing Agent → latexEditText(structured outline) → latexSyncCitations(10 papers) → latexCompile → researcher gets compiled LaTeX PDF with figures.

"Find GitHub repos with 14-3-3 binding simulation code."

Research Agent → paperExtractUrls(Oldfield 2008) → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets repo links with disorder modeling scripts for local runs.

Automated Workflows

Deep Research workflow scans 50+ papers via searchPapers on '14-3-3 phosphorylation binding', structures into motif tables and disease links with GRADE grading. DeepScan applies 7-step analysis: citationGraph → readPaperContent → runPythonAnalysis on phosphoproteomes (Reiland 2009) → CoVe verification. Theorizer generates hypotheses on flexible nets (Dunker 2005) disrupting cancer signaling.

Try Doxa for 14-3-3 Protein Phosphorylation Binding Research

Frequently Asked Questions

What defines 14-3-3 phosphorylation binding?

14-3-3 proteins bind phosphorylated Ser/Thr motifs (mode 1: RSXpSXP; mode 2: RXYpSXP) via central groove, as predicted by Scansite 2.0 (Obenauer et al., 2003).

What methods study these interactions?

Structural analysis via crystallography (Rittinger et al., 1999), motif prediction (Obenauer et al., 2003), and kinase inhibition assays (Dzamko et al., 2010) map specificity.

What are key papers?

Obenauer et al. (2003, 1599 citations) for motif prediction; Rittinger et al. (1999, 506 citations) for structures; Nichols et al. (2010, 397 citations) for LRRK2 disease links.

What open problems exist?

Isoform-specific affinities, disorder-induced fit quantification (Oldfield et al., 2008), and mutation effects on dynamics (Nichols et al., 2010) lack comprehensive models.